Matches in SemOpenAlex for { <https://semopenalex.org/work/W2966892117> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2966892117 endingPage "052038" @default.
- W2966892117 startingPage "052038" @default.
- W2966892117 abstract "The K-means algorithm is one of the classical algorithms of clustering. However, as the data set increases, the computational cost of clustering becomes higher. The orthogonal matching pursuit algorithm is a classic signal reconstruction algorithm. The paper improves its algorithm based on compression learning and applies it to the K-means algorithm, which uses the sketch of the original data set to estimate the cluster center. The experiment results show that the clustering effect of this method is similar to that of K-means algorithm, because the size of the sketch is independent of the size of the original data set, only related to the number of centroids K and the dimension n of the data, which reduces the computational complexity of the algorithm. For large data sets, experiments show that the improved algorithm is more optimized than the traditional K-means algorithm." @default.
- W2966892117 created "2019-08-22" @default.
- W2966892117 creator A5018392054 @default.
- W2966892117 creator A5051441183 @default.
- W2966892117 creator A5061032368 @default.
- W2966892117 creator A5061065027 @default.
- W2966892117 creator A5088131991 @default.
- W2966892117 date "2019-08-09" @default.
- W2966892117 modified "2023-09-24" @default.
- W2966892117 title "Research on K-means Algorithm Optimization based on Compression Learning" @default.
- W2966892117 cites W2274086169 @default.
- W2966892117 cites W821744907 @default.
- W2966892117 doi "https://doi.org/10.1088/1757-899x/569/5/052038" @default.
- W2966892117 hasPublicationYear "2019" @default.
- W2966892117 type Work @default.
- W2966892117 sameAs 2966892117 @default.
- W2966892117 citedByCount "0" @default.
- W2966892117 crossrefType "journal-article" @default.
- W2966892117 hasAuthorship W2966892117A5018392054 @default.
- W2966892117 hasAuthorship W2966892117A5051441183 @default.
- W2966892117 hasAuthorship W2966892117A5061032368 @default.
- W2966892117 hasAuthorship W2966892117A5061065027 @default.
- W2966892117 hasAuthorship W2966892117A5088131991 @default.
- W2966892117 hasBestOaLocation W29668921171 @default.
- W2966892117 hasConcept C104047586 @default.
- W2966892117 hasConcept C105795698 @default.
- W2966892117 hasConcept C11413529 @default.
- W2966892117 hasConcept C119857082 @default.
- W2966892117 hasConcept C146599234 @default.
- W2966892117 hasConcept C154945302 @default.
- W2966892117 hasConcept C159985019 @default.
- W2966892117 hasConcept C165064840 @default.
- W2966892117 hasConcept C177264268 @default.
- W2966892117 hasConcept C179799912 @default.
- W2966892117 hasConcept C180016635 @default.
- W2966892117 hasConcept C184497298 @default.
- W2966892117 hasConcept C192562407 @default.
- W2966892117 hasConcept C199360897 @default.
- W2966892117 hasConcept C202444582 @default.
- W2966892117 hasConcept C2779231336 @default.
- W2966892117 hasConcept C33676613 @default.
- W2966892117 hasConcept C33704608 @default.
- W2966892117 hasConcept C33923547 @default.
- W2966892117 hasConcept C41008148 @default.
- W2966892117 hasConcept C58489278 @default.
- W2966892117 hasConcept C73555534 @default.
- W2966892117 hasConcept C75930677 @default.
- W2966892117 hasConcept C78548338 @default.
- W2966892117 hasConcept C8880873 @default.
- W2966892117 hasConcept C94641424 @default.
- W2966892117 hasConceptScore W2966892117C104047586 @default.
- W2966892117 hasConceptScore W2966892117C105795698 @default.
- W2966892117 hasConceptScore W2966892117C11413529 @default.
- W2966892117 hasConceptScore W2966892117C119857082 @default.
- W2966892117 hasConceptScore W2966892117C146599234 @default.
- W2966892117 hasConceptScore W2966892117C154945302 @default.
- W2966892117 hasConceptScore W2966892117C159985019 @default.
- W2966892117 hasConceptScore W2966892117C165064840 @default.
- W2966892117 hasConceptScore W2966892117C177264268 @default.
- W2966892117 hasConceptScore W2966892117C179799912 @default.
- W2966892117 hasConceptScore W2966892117C180016635 @default.
- W2966892117 hasConceptScore W2966892117C184497298 @default.
- W2966892117 hasConceptScore W2966892117C192562407 @default.
- W2966892117 hasConceptScore W2966892117C199360897 @default.
- W2966892117 hasConceptScore W2966892117C202444582 @default.
- W2966892117 hasConceptScore W2966892117C2779231336 @default.
- W2966892117 hasConceptScore W2966892117C33676613 @default.
- W2966892117 hasConceptScore W2966892117C33704608 @default.
- W2966892117 hasConceptScore W2966892117C33923547 @default.
- W2966892117 hasConceptScore W2966892117C41008148 @default.
- W2966892117 hasConceptScore W2966892117C58489278 @default.
- W2966892117 hasConceptScore W2966892117C73555534 @default.
- W2966892117 hasConceptScore W2966892117C75930677 @default.
- W2966892117 hasConceptScore W2966892117C78548338 @default.
- W2966892117 hasConceptScore W2966892117C8880873 @default.
- W2966892117 hasConceptScore W2966892117C94641424 @default.
- W2966892117 hasLocation W29668921171 @default.
- W2966892117 hasOpenAccess W2966892117 @default.
- W2966892117 hasPrimaryLocation W29668921171 @default.
- W2966892117 hasRelatedWork W2350975147 @default.
- W2966892117 hasRelatedWork W2361300133 @default.
- W2966892117 hasRelatedWork W2362310463 @default.
- W2966892117 hasRelatedWork W2379482696 @default.
- W2966892117 hasRelatedWork W2385420158 @default.
- W2966892117 hasRelatedWork W2741237204 @default.
- W2966892117 hasRelatedWork W2810369194 @default.
- W2966892117 hasRelatedWork W3162178434 @default.
- W2966892117 hasRelatedWork W4292621762 @default.
- W2966892117 hasRelatedWork W2183813428 @default.
- W2966892117 hasVolume "569" @default.
- W2966892117 isParatext "false" @default.
- W2966892117 isRetracted "false" @default.
- W2966892117 magId "2966892117" @default.
- W2966892117 workType "article" @default.